Recording and simulation in electrophysiology result in ever growing amounts of data, making it harder for conventional manual sorting and analysis methods to keep pace. The amount of electrophysiological data is increasing as more channels can be sampled and recording quality improves, while rapid advances in computing speed and capacity (e.g., in grid computing) have enabled researchers to generate massive amounts of simulation data in very short times. As a result, the need for automated analysis tools and database systems has become widespread. This workshop aims to bring researchers interested in developing and using such tools. Its purpose is twofold: encouraging transfer of knowledge among software developers, and providing a review of available technologies for potential users. Following contributed talks, there will be a discussion session on one or more of the topics of database interfaces, query sytems, and/or platforms.
dialogue between software designers
sharing common software routines and approaches
sharing computational approaches to solving problems relating to electrophysiologic data analysis
discussion of funding opportunities for developing software tools
choosing the right platform: C/C++, Java, LabVIEW, Matlab, Igor
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